Offshore Wind Farm Feasibility Study Startup Costs: $235K CAPEX
Offshore Wind Farm Feasibility Study
Key Takeaways
Software and data setup is partly capitalized, partly recurring.
Year 1 staffing is the largest startup cost.
Legal, insurance, and compliance run about $42,000 yearly.
Marketing and proposals need real cash before revenue.
Estimate Startup Costs with Calculator
Startup CAPEX Calculator
Estimates capitalized startup assets only for the feasibility study, not operating cash or wind farm build costs.
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Excluded from CAPEX Base startup CAPEX is $235,000 before contingency. This model excludes payroll runway, rent, insurance premiums, proposal costs, debt service, working capital, deposits, inventory, and wind farm construction CAPEX. Spend timing runs from Month 1 through Month 9. If technical seats are entered, CAPEX per seat equals total CAPEX divided by technical seats.
What does this screenshot show?
This Offshore Wind Farm Feasibility Study Financial Model Template shows CAPEX, $235,000 startup assets, and launch timing through Month 9. Check first operating year and early ramp-up assumptions, then review quotes, hiring plans, and signed pipeline.
Screenshot highlights
$235,000 startup assets
Year 1 marketing: $150,000
$16,750 monthly overhead
Offshore Wind Farm Feasibility Study Financial Model
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What are the biggest cost drivers for an offshore wind feasibility study business?
For an Offshore Wind Farm Feasibility Study, the biggest cost driver is Year 1 payroll at $555,000 for the core team: CEO or lead scientist, senior wind analyst, financial modeler or project manager, GIS specialist, and a half-time business development manager. After that, the main startup spend is $60,000 for proprietary model development, $45,000 for high-performance workstations, and $25,000 for GIS licenses. Year 1 variable costs also matter, with 8% premium data procurement, 5% project-specific software, 10% external consultants, and 5% travel and client engagement.
Fixed cost drivers
$555,000 Year 1 payroll
Core technical hires drive cost
$60,000 model development
$45,000 workstations and computing
Revenue-tied drivers
8% premium data procurement
5% project-specific software
10% external consultants
5% travel and client engagement
Why do you need an offshore wind feasibility study business financial model?
If you’re starting an Offshore Wind Farm Feasibility Study, the model shows whether your cash survives the gap between hiring specialists and collecting project fees. Here’s the quick math: a full feasibility study is 160 hours × $350 = $56,000, modular analysis is 40 hours × $300 = $12,000, and retainer advisory is 20 hours × $250 = $5,000. It also needs to test the Year 1 mix, with 80% full feasibility, 20% modular work, 10% retainer advisory, and 0% data platform access, so you catch cash gaps before revenue, not just startup spend.
Year 1 service economics
160 hours at $350 = $56,000
40 hours at $300 = $12,000
20 hours at $250 = $5,000
Price must cover subcontractors, too
What the model must test
80% full feasibility mix
20% modular analysis mix
10% retainer advisory mix
0% data platform access
How much funding do you need to start an offshore wind feasibility study company?
You need about $1.14 million to start an Offshore Wind Farm Feasibility Study company: $235,000 CAPEX, $555,000 Year 1 payroll, $201,000 fixed overhead, and $150,000 marketing; for KPI discipline, see What Is The Most Critical Measure Of Success For Your Offshore Wind Farm Feasibility Study Business?. This funds the feasibility service launch only, not the offshore wind project itself, and excludes revenue-tied project delivery costs.
Startup funding math
Fund CAPEX: $235,000
Cover Year 1 payroll: $555,000
Cover fixed overhead: $201,000
Budget marketing: $150,000
Monthly burn check
Payroll averages $46,250/month
Fixed overhead averages $16,750/month
Base burn is $63,000/month
Marketing averages $12,500/month
Calculate Fuding Needs
Startup cost summary
This table splits offshore wind feasibility startup costs into five CAPEX items and one excluded working-capital reserve for launch planning.
Highlighted CAPEX$235,000Base planning example
Excluded cash needs$776,000Outside CAPEX total
Funding need$1,011,000CAPEX + excluded cash needs
Cost Category
Base Estimate
Main Cost Driver
CAPEX Calculator
Office setup and furnishings
$50,000
Office buildout and furniture
Yes
High-performance workstations
$45,000
Analyst hardware and computing power
Yes
Initial server and network infrastructure
$30,000
Core IT and data hosting
Yes
Specialized GIS software licenses (perpetual)
$25,000
Mapping tools and licensed software
Yes
Proprietary model development and platform setup
$85,000
Custom model build plus CRM and security setup
Yes
Working capital reserve
$776,000
Year 1 payroll, overhead, marketing, and 28% revenue-tied costs
No
Offshore Wind Farm Feasibility Study Core Five Startup Costs
Technical Software, Modeling, and Data Infrastructure Startup Expense
Core software stack
This stack is front-loaded: the core build is $170,000 in CAPEX, made up of $25,000 GIS licenses, $60,000 model development, $45,000 workstations, $30,000 servers and network gear, and $10,000 for backup and data security. It supports wind modeling, metocean data access, secure cloud storage, and team collaboration before client work starts.
Size it by use
Use vendor quotes, seat counts, and months of access to size the budget. The monthly run rate is $3,000 for core IT and R&D platforms, plus 5% of Year 1 revenue for project-specific licenses. That keeps software spend tied to workload, not wishful growth.
Buy only active-user seats
Renew project tools quarterly
Delay server upgrades
Keep it lean
Trim cost by sharing licenses, standardizing templates, and using cloud tools only for active projects. The big mistake is overbuilding servers before billable volume is real. A lean setup still preserves secure storage, version control, and collaboration without paying for idle capacity.
Share seats across teams
Review usage monthly
Scale servers late
Book it cleanly
Treat long-lived software, model development, and hardware as capital expenditure (CAPEX) or setup-linked infrastructure. Book the $1,200 monthly core IT, $1,800 monthly R&D platforms, and project licenses tied to active work as operating expense unless they create a capital asset. That split keeps the first-year budget and the P&L clean.
Marine Data Acquisition and Survey Readiness Startup Expense
Data and survey prep
For offshore wind site work, budget 8% of Year 1 revenue for premium data procurement and 10% of Year 1 revenue for external project consultants. That covers floating LiDAR or met mast access, bathymetric and geophysical data, marine survey subcontractors, and vessel-supported coordination. If Year 1 revenue is R, this line item is 0.18R.
Cost build
Build this as a project spend line, not a fleet purchase. Use quotes for data access, subcontractor retainers, survey days, and license terms, then size each input by months of coverage and site count. This startup does not need to buy vessels or full survey fleets unless it chooses an owned-equipment model.
Price data by site and month.
Separate retainers from field days.
Check license length and reuse limits.
Keep it lean
Use third-party field partners first, because owned vessels lock cash into maintenance, mobilization, and idle time. The cleanest savings come from phased data buys and tight subcontract scopes. Watch the trap: a cheap quote with weak data rights can force a costly re-buy later.
Negotiate repeat-use rights early.
Ask for mobilization fees up front.
Limit scope to decision-grade data.
Refinement questions
Lock the model by asking three things: what are the subcontractor retainer amounts, how long do the data licenses last, and which survey tasks stay with third-party field partners? Those answers decide whether spend stays near the 18% of Year 1 revenue baseline or moves higher with custom field work and wider access rights.
Expert Staffing and Professional Capacity Startup Expense
Year 1 payroll
Hiring and onboarding are not the same as payroll runway. The Year 1 staff plan is $555,000: $180,000 CEO or lead scientist, $120,000 senior wind analyst, $110,000 financial modeler or project manager, $95,000 GIS specialist, and $50,000 business development manager. The Data Engineer and Administrative Assistant start in Month 13.
Budget inputs
Use headcount, start month, and salary to size this cost, then add recruiting and onboarding separately. If technical reviewers, marine environmental consultants, or permitting specialists are not on payroll, price them as subcontracted readiness work instead of salary. That keeps the runway clean and avoids double counting.
Phase the hires
Keep fixed payroll tied to client work, not wish lists. One clean line: pay for core capability first, then buy niche expertise only for reviews and filings. The main mistake is loading Year 1 with every role at once, which pushes burn up before revenue does.
Pre-opening readiness
Treat onboarding, recruiting, technical reviewers, marine environmental consultants, permitting specialists, and other subcontracted expertise as pre-opening readiness when they are not already in payroll. That spend supports launch quality, but it should sit outside salary runway so the cash plan shows true monthly burn.
Regulatory, Legal, Compliance, and Insurance Startup Expense
Fixed legal load
Offshore wind consulting legal and insurance costs are a fixed startup line, not developer spend. Plan for $1,500 a month of business insurance and $2,000 a month for legal and accounting, or $42,000 in year one. That covers contract review, data licensing, subcontractor agreements, confidentiality, professional liability, general liability, and Bureau of Ocean Energy Management (BOEM) advisory readiness.
Keep scope tight
Control this cost by fixing the retainer scope, using template NDAs and subcontractor forms, and capping outside counsel to real deal issues. Ask for liability limits and deductible terms up front, because those change cash needs fast. The main mistake is paying for developer permits or broad project work the consulting firm does not own.
Set monthly scope caps
Review deductible terms early
Separate sponsor permits
Budget the risk
Here’s the quick budget check: $42,000 covers the fixed first-year baseline, but deductibles, contract negotiation time, and liability limits can move the real number. If a client pushes unusual indemnities or data terms, legal time rises. The budget stays cleaner when each project gets a fresh scope and insurance certificate.
Project sponsor rule
The consulting startup does not pay developer permits unless it is the project sponsor. That line matters because permit duty, compliance filings, and project-level liability sit with the sponsor, while the consulting firm’s cost is mostly advisory, contract support, and insurance tied to its own service risk.
Go-To-Market, Proposal, and Client Acquisition Startup Expense
Pre-Opening Spend
For an offshore wind feasibility shop, marketing and proposal work are early working capital, not technical CAPEX. The planning anchor is a $150,000 Year 1 marketing budget, with $15,000 customer acquisition cost in Year 1, then $12,000 in Year 2 and $10,000 in Year 3. Travel and client engagement should equal 5% of Year 1 revenue.
What It Covers
This budget covers credibility materials, case studies, coastal market travel, conference attendance, developer outreach, proposal graphics, and request for proposal response support. Estimate it with months of coverage, travel trips, conference fees, and proposal hours. One clean rule: price the work to win bids, not to build plant assets.
Use months, trips, and proposal hours.
Include RFP response support.
Keep it pre-opening.
How To Keep It Lean
Cut waste by reusing case studies, targeting only coastal buyers, and tying travel to live meetings. Don’t buy broad ad spend before you have proof points. The Year 2 and Year 3 CAC drop to $12,000 and $10,000, so the goal is tighter targeting, not bigger spend.
Reuse proposal templates.
Book travel around meetings.
Track CAC by channel.
Budget Test
Here’s the quick check: if Year 1 travel and client contact equal 5% of revenue, then the rest of the $150,000 budget must cover positioning, proposals, and outreach. If proposal volume is high, this line grows fast, so track RFP count, win rate, and cost per qualified lead every month.
Compare 3 Startup Cost Scenarios
Scenario Table
Scenario scale changes startup cost because more in-house analysis, data access, and survey coordination push spend up. Lean keeps cash light; Full adds technical control and sales readiness.
Lean, Base, and Full launch cost comparison
Scenario
Lean LaunchBest fit: pilots
Base LaunchBest fit: standard bids
Full LaunchBest fit: complex bids
Launch model
Uses subcontractors for specialist work and keeps the build-out light.
Uses the full researched launch plan with core staff, software, and marketing in place.
Builds deeper in-house capacity and adds survey support if the model needs it.
Typical setup
It uses a small office footprint, limited owned tech, and selective project tools.
It uses the planned office setup, core workstations, server, GIS tools, and team.
It uses broader data, stronger modeling depth, survey coordination, and optional owned equipment.
Cost drivers
Subcontractor fees
light office setup
deferred model spend
limited infrastructure
Core payroll
CAPEX build-out
data purchases
marketing
fixed overhead
Broader data buys
deeper payroll
survey support
owned equipment
higher software load
Planning rangeCAPEX only
$100,000 - $175,000Cash-light
$235,000 - $243,000Sales-ready
$300,000 - $450,000Tech control
Best fit
It fits teams testing demand or one project before a fuller hire plan.
It fits teams that need a client-ready launch with controlled cash use.
It fits teams chasing larger bids that need more technical control.
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Planning note: These ranges are researched planning assumptions, not exact quotes or binding bids.
Offshore Wind Farm Feasibility Study Business Plan
Working capital should cover payroll, fixed overhead, marketing, and proposal work before client cash arrives The researched plan carries about $46,250 monthly payroll and $16,750 monthly fixed overhead, or $63,000 per month before marketing Year 1 marketing adds $150,000, and revenue-tied project costs add 28% of revenue once delivery starts
Not at launch unless owned field equipment is central to your service model The researched CAPEX plan totals $235,000 and covers office setup, workstations, server infrastructure, GIS licenses, model development, CRM setup, and data security Marine survey work can sit in subcontractor costs, which are modeled at 10% of Year 1 revenue for external project consultants
Sales cycles can strain cash because large feasibility buyers often require proposals, technical review, and contract negotiation before work starts The model assumes $150,000 in Year 1 marketing and $15,000 customer acquisition cost If proposals take longer than expected, the business still pays about $63,000 per month in payroll and fixed overhead before marketing
Reimbursement depends on the contract, so don’t assume every project cost comes back dollar for dollar Build separate lines for premium data, project-specific software, travel, and external consultants In the researched model, those items equal 28% of Year 1 revenue, with travel and client engagement alone at 5% of revenue
Start subcontractor-led and defer owned infrastructure that doesn’t win the first contracts The biggest fixed launch choices are $60,000 for proprietary model development, $50,000 for office setup, and $45,000 for high-performance workstations You can also phase hiring, but protect the core technical team because Year 1 service quality depends on expert labor
About the author
Victor Shaw
Practical Business Analyst
Victor Shaw is a practical business analyst at Financial Models Lab who writes about small business budgeting and estimating what a business can earn. He helps aspiring small business owners build realistic assumptions, understand break-even points, and compare business opportunities with greater clarity. His work focuses on simple, credible financial analysis that turns rough ideas into grounded expectations for real-world decision-making.
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